European Biological Variation Study (EuBIVAS): within-and between-subject biological variation estimates for serum biointact parathyroid hormone based on weekly samplings from 91 healthy participants
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DOI No
10.21037/atm-19-4498
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8
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14
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JUL
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Background: The European Biological Variation Study (EuBIVAS) was created by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group on Biological Variation to establish high-quality biological variation (BV) estimates for clinically important measurands. In this study, the aim was to deliver reliable BV estimates for the biointact parathyroid hormone (PTH 1-84). Methods: Serum samples were obtained from a population of 91 healthy individuals (38 men, 43 premenopausal women, and 10 post-menopausal women
21-69 years) from 5 European countries, with all samples stored at -80 degrees C prior to analysis. PTH 1-84 analysis was performed at the San Raffaele Hospital (Milan, Italy) on the Roche Cobas e801. All samples from each individual were analysed in duplicate within a single run. CV-ANOVA was applied, after analysis of variance homogeneity and outliers, to obtain BV estimates for PTH 1-84 with 95\% CIs. Results: The within-subject BV {[}CVI (95\% CI)] estimates were significantly different between men and women {[}13.0\% (12.1- 14.2\%) and 15.2\% (14.3-16.3\%), respectively], while the between-subject estimates {[}CVG (95\% CI)] were similar (men: 26.8\% (21.4-35.1\%), pre-menopausal women: 27.8\% (22.7-36.1\%)], allowing for delivery of updated analytical performance specifications and reference change values. Conclusions: Updated BV estimates for serum PTH 1-84 based on the large-scale EuBIVAS may be beneficial for the diagnosis and management of parathyroid glands and bone turnover pathologies.
21-69 years) from 5 European countries, with all samples stored at -80 degrees C prior to analysis. PTH 1-84 analysis was performed at the San Raffaele Hospital (Milan, Italy) on the Roche Cobas e801. All samples from each individual were analysed in duplicate within a single run. CV-ANOVA was applied, after analysis of variance homogeneity and outliers, to obtain BV estimates for PTH 1-84 with 95\% CIs. Results: The within-subject BV {[}CVI (95\% CI)] estimates were significantly different between men and women {[}13.0\% (12.1- 14.2\%) and 15.2\% (14.3-16.3\%), respectively], while the between-subject estimates {[}CVG (95\% CI)] were similar (men: 26.8\% (21.4-35.1\%), pre-menopausal women: 27.8\% (22.7-36.1\%)], allowing for delivery of updated analytical performance specifications and reference change values. Conclusions: Updated BV estimates for serum PTH 1-84 based on the large-scale EuBIVAS may be beneficial for the diagnosis and management of parathyroid glands and bone turnover pathologies.
